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Python Data Analysis Cookbook

You're reading from   Python Data Analysis Cookbook Clean, scrape, analyze, and visualize data with the power of Python!

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Product type Paperback
Published in Jul 2016
Publisher
ISBN-13 9781785282287
Length 462 pages
Edition 1st Edition
Languages
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (18) Chapters Close

Preface 1. Laying the Foundation for Reproducible Data Analysis FREE CHAPTER 2. Creating Attractive Data Visualizations 3. Statistical Data Analysis and Probability 4. Dealing with Data and Numerical Issues 5. Web Mining, Databases, and Big Data 6. Signal Processing and Timeseries 7. Selecting Stocks with Financial Data Analysis 8. Text Mining and Social Network Analysis 9. Ensemble Learning and Dimensionality Reduction 10. Evaluating Classifiers, Regressors, and Clusters 11. Analyzing Images 12. Parallelism and Performance A. Glossary
B. Function Reference C. Online Resources D. Tips and Tricks for Command-Line and Miscellaneous Tools Index

Implementing association tables


The association table acts as a bridge between database tables, which have a many-to-many relationship. The table contains foreign keys that are linked to the primary keys of the tables it connects.

In this recipe, we will associate web pages with links within the page. A page has many links, and links can be in many pages. We will concern ourselves only with links to other websites, but this is not a requirement. If you are trying to reproduce a website on your local machine for testing or analysis, you will want to store image and JavaScript links as well. Have a look at the following relational schema diagram:

Getting ready

I installed SQLAlchemy 0.9.9 with Anaconda, as follows:

$ conda install sqlalchemy

If you prefer, you can also install SQLAlchemy with the following command:

$ pip install sqlalchemy

How to do it…

The following code from the impl_association.py file in this book's code bundle implements the association table pattern:

  1. The imports are as follows...

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